Publications by Tag

The following tags appear in the publications listed in the review:

AAAI ACCV ACL Arxiv BMVC CIKM CIVR CNN CVPR Case Study Cross-Modal Dataset Deep Learning ECCV ECIR GAN Has Code ICCV ICIP ICME ICML ICMR IJCAI Image Retrieval KDD LSH LSTM MM NAACL NIPS Quantisation RNN SCG SDM SIGIR SIGMOD Self-Supervised Skewed Data Spectral Spherical Hashing Streaming Data Supervised Survey Paper TIP TPAMI Text Retrieval Unsupervised VLDB Video Retrieval WWW Weakly Supervised

Tags

See below a list of all tags and the related papers

AAAI

• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Column Sampling Based Discrete Supervised Hashing Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu

ACCV

• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero

ACL

• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao

Arxiv

• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua

BMVC

• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert

CIKM

• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin

CIVR

• NUS-WIDE: a real-world web image database from National University of Singapore T. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng

CNN

• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert

CVPR

• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Spherical Hashing J. Heo, Y. Lee, J. He, S. Chang, S. Yoon
• Locally Linear Hashing for Extracting Non-Linear Manifolds G. Irie, Z. Li, X. Wu, S. Chang
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Semantics-Preserving Hashing for Cross-View Retrieval Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang
• Efficient Training of Very Deep Neural Networks for Supervised Hashing Ziming Zhang, Yuting Chen, Venkatesh Saligrama
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• Hashing as Tie-Aware Learning to Rank K. He, F. Cakir, S. Bargal, S. Sclaroff
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• K-Nearest Neighbors Hashing Xiangyu He, Peisong Wang, Jian Cheng
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Auto-Encoding Twin-Bottleneck Hashing Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao

Case Study

• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza

Cross-Modal

• Learning hash functions for cross-view similarity search S. Kumar, R. Udupa
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Comparing apples to oranges: a scalable solution with heterogeneous hashing M. Ou, P. Cui, F. Wang, J. Wang, W. Zhu, S. Yang
• Linear cross-modal hashing for efficient multimedia search Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin
• Semantics-Preserving Hashing for Cross-View Retrieval Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval Chuan-Xiang Li , Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Separated Variational Hashing Networks for Cross-Modal Retrieval Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian

Dataset

• The MNIST Database of Handwritten Digits Y. LeCun, C. Cortes, C. Burges
• LabelMe: a database and web-based tool for image annotation B. Russell, A. Torralba, K. Murphy, W. T. Freeman
• The MIR Flickr Retrieval Evaluation. M. J. Huiskes, M. S. Lew
• Learning Multiple Layers of Features from Tiny Images A. Krizhevsky
• ImageNet: A large-scale hierarchical image database J. Deng, W. Dong, R. Socher, L. Li, K. Li, L. Fei-Fei
• NUS-WIDE: a real-world web image database from National University of Singapore T. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng
• A New Approach to Cross-Modal Multimedia Retrieval N. Rasiwasia, J. Costa Pereira, E. Coviello, G. Doyle, G. Lanckriet, R.Levy and N. Vasconcelos
• Microsoft COCO: Common Objects in Context Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollar

Deep Learning

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M. Rastegari, V. Ordonez, J. Redmon, A. Farhadi
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Efficient Training of Very Deep Neural Networks for Supervised Hashing Ziming Zhang, Yuting Chen, Venkatesh Saligrama
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Accelerate Learning of Deep Hashing With Gradient Attention Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Content-aware Neural Hashing for Cold-start Recommendation Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie
• Auto-Encoding Twin-Bottleneck Hashing Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao

ECCV

• Optimizing Ranking Measures for Compact Binary Code Learning Guosheng Lin, Chunhua Shen, Jianxin Wu.
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie

ECIR

• Graph Regularised Hashing S. Moran, V. Lavrenko

GAN

• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu

Has Code

• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Semantic Hashing R. Salakhutdinov, G. Hinton
• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• The Power of Asymmetry in Binary Hashing B. Neyshabur, R. Salakhutdinov, N. Srebro
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Learning Hash Functions Using Column Generation X. Li, G. Lin, C. Shen, A. Hengel, A. Dick
• Complementary Projection Hashing Z. Jin, Y. Hu, Y. Lin, D. Zhang, S. Lin, D. Cai, X. Li
• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Circulant Binary Embedding F. Yu, S. Kumar, Y. Gong, S. Chang
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Scalable Graph Hashing with Feature Transformation Q. Jiang, W. Li
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Hashing as Tie-Aware Learning to Rank K. He, F. Cakir, S. Bargal, S. Sclaroff
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng

ICCV

• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Supervised binary hash code learning with jensen shannon divergence Lixin Fan
• Complementary Projection Hashing Z. Jin, Y. Hu, Y. Lin, D. Zhang, S. Lin, D. Cai, X. Li
• Top Rank Supervised Binary Coding for Visual Search Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• kNN Hashing with Factorized Neighborhood Representation Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan
• An NMF perspective on Binary Hashing Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes and Vikas Singh
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan and Xilin Chen
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Accelerate Learning of Deep Hashing With Gradient Attention Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
• Maximum-Margin Hamming Hashing Rong Kang, Yue Cao, Mingsheng Long (B), Jianmin Wang, and Philip S. Yu
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu

ICIP

• Variable-Length Quantization Strategy for Hashing Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin

ICME

• A New Approach to Cross-Modal Multimedia Retrieval N. Rasiwasia, J. Costa Pereira, E. Coviello, G. Doyle, G. Lanckriet, R.Levy and N. Vasconcelos

ICML

• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Learning Hash Functions Using Column Generation X. Li, G. Lin, C. Shen, A. Hengel, A. Dick
• Circulant Binary Embedding F. Yu, S. Kumar, Y. Gong, S. Chang
• Hashing for Distributed Data Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang and Hanqing Lu

ICMR

• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang

IJCAI

• Learning hash functions for cross-view similarity search S. Kumar, R. Udupa
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Scalable Graph Hashing with Feature Transformation Q. Jiang, W. Li
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu

Image Retrieval

• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Spherical Hashing J. Heo, Y. Lee, J. He, S. Chang, S. Yoon
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Learning Binary Hash Codes for Large-Scale Image Search Kristen Grauman, Rob Fergus
• Locally Linear Hashing for Extracting Non-Linear Manifolds G. Irie, Z. Li, X. Wu, S. Chang
• Optimizing Ranking Measures for Compact Binary Code Learning Guosheng Lin, Chunhua Shen, Jianxin Wu.
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan and Xilin Chen
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M. Rastegari, V. Ordonez, J. Redmon, A. Farhadi
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• A Survey on Learning to Hash Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie
• Model Optimization Boosting Framework for Linear Model Hash Learning Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin

KDD

• Comparing apples to oranges: a scalable solution with heterogeneous hashing M. Ou, P. Cui, F. Wang, J. Wang, W. Zhu, S. Yang
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu

LSH

• Locality-sensitive hashing scheme based on p-stable distributions M. Datar, N. Immorlica, P. Indyk, V. Mirrokni
• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan
• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Practical and Optimal LSH for Angular Distance A. Andoni, P. Indyk, T. Laarhoven
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza
• Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond L. Chen, H. Esfandiari, G. Fu, V. Mirrokni

LSTM

• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou

MM

• Linear cross-modal hashing for efficient multimedia search Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao
• SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval Chuan-Xiang Li , Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Separated Variational Hashing Networks for Cross-Modal Retrieval Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun

NAACL

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko

NIPS

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning P. Jain, S. Vijayanarasimhan, K. Grauman
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• The Power of Asymmetry in Binary Hashing B. Neyshabur, R. Salakhutdinov, N. Srebro
• Discrete Graph Hashing W. Liu, C. Mu, S. Kumar, S. Chang
• Practical and Optimal LSH for Angular Distance A. Andoni, P. Indyk, T. Laarhoven
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond L. Chen, H. Esfandiari, G. Fu, V. Mirrokni

Quantisation

• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Variable-Length Quantization Strategy for Hashing Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert

RNN

• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu

SCG

• Locality-sensitive hashing scheme based on p-stable distributions M. Datar, N. Immorlica, P. Indyk, V. Mirrokni

SDM

• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso

SIGIR

• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• Fast Scalable Supervised Hashing Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Content-aware Neural Hashing for Cold-start Recommendation Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma

SIGMOD

• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen

Self-Supervised

• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong

Skewed Data

• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan

Spectral

• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus

Spherical Hashing

• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero

Streaming Data

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff

Supervised

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Top Rank Supervised Binary Coding for Visual Search Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Column Sampling Based Discrete Supervised Hashing Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
• Fast Scalable Supervised Hashing Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang

Survey Paper

• Learning Binary Hash Codes for Large-Scale Image Search Kristen Grauman, Rob Fergus
• A Survey on Learning to Hash Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen

TIP

• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
• Model Optimization Boosting Framework for Linear Model Hash Learning Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin

TPAMI

• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff

Text Retrieval

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang

Unsupervised

• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou

VLDB

• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza

Video Retrieval

• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng

WWW

• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan

Weakly Supervised

• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li